Applied Machine Learning Engineer

Digitalisation – DSM (Digital Securities Market), LSEG

About the Role

We are seeking a hands‑on Applied Machine Learning Engineer to join the Digitalisation team within DSM (Digital Securities Market) at LSEG. This role is ideal for an ML engineer who enjoys building end‑to‑end machine learning systems in PyTorch, from data exploration and model development through to production deployment and monitoring.

You will work closely with senior engineers and engineering managers to design, implement, train, and productionise ML models, spending most of your time on core machine learning work such as feature design, model training, evaluation, and MLOps integration. While a significant project focus involves graph and knowledge‑graph‑based machine learning, the broader role is designed to support a range of ML use cases, both graph‑based and non‑graph‑based, as the project portfolio evolves.

This role focuses on technical execution and learning by doing.

What You’ll Spend Most of Your Time Doing

• Performing EDA and data analysis to understand new datasets and modelling opportunities
• Designing and implementing machine learning models in PyTorch from scratch
• Training, validating, and tuning models for real‑world performance and robustness
• Building production‑ready ML pipelines (training, evaluation, deployment, monitoring)
• Contributing to graph ML projects (such as LIPA) alongside more traditional ML use cases
• Improving models based on performance feedback, drift signals, and operational learnings

Key Responsibilities

Core Machine Learning

• Design and implement machine learning models in PyTorch from first principles, including model architectures, training loops, losses, and evaluation logic.
• Work on a range of ML problem types such as classification, regression, anomaly detection, and pattern recognition, depending on project needs.
• Conduct EDA and feature analysis to understand data quality, signal, and modelling constraints.
• Apply disciplined experimentation practices, including proper train/validation/test splits, reproducibility, and metric tracking.

Graph & Knowledge‑Graph Machine Learning

• Contribute to graph‑based ML projects, applying graph neural networks for tasks such as link prediction and node classification.
• Work with graph‑structured data, helping to model entities, relationships, and properties in collaboration with data and analytics teams.
• Implement and evaluate graph ML approaches using DGL or similar frameworks (e.g. PyTorch Geometric), with guidance from senior engineers.

ML Engineering & MLOps

• Contribute to the end‑to‑end ML lifecycle on AWS SageMaker, including training jobs, pipelines, model registration, deployment, and monitoring.
• Support model monitoring and maintenance, including performance tracking and basic data or concept drift detection.
• Work with DevOps/MLOps engineers to ensure models are reproducible, observable, and maintainable in production environments.

Data Engineering & Feature Pipelines

• Build and maintain feature pipelines and transformations in collaboration with Cloud Data Engineers.
• Use SQL and Apache Spark / PySpark to work with large‑scale datasets supporting ML workloads.
• Ensure consistency between training‑time and inference‑time features.

Collaboration & Delivery

• Collaborate closely with ML, AI, data, and analytics engineers within an Agile delivery environment.
• Clearly document model designs, assumptions, and experimental results for internal technical audiences.
• Participate in sprint planning, technical discussions, and code reviews.

Required Skills and Experience

• Hands‑on experience building machine learning models in PyTorch, including writing custom training and evaluation code.
• Experience applying core ML techniques (e.g. classification, regression, anomaly detection) in practical settings.
• Working knowledge of graph machine learning concepts, with hands‑on exposure to DGL or similar libraries (e.g. PyTorch Geometric).
• Solid Python skills and experience with common ML/data libraries (Pandas, NumPy, SciPy, Scikit-Learn).
• Working knowledge of SQL and experience using Apache Spark / PySpark for data preparation or feature engineering.
• Exposure to MLOps concepts, such as model versioning, deployment, monitoring, and reproducibility.
• Strong analytical and problem‑solving skills, with attention to detail and a bias toward production‑quality code.
• Ability to work effectively as part of a cross‑functional engineering team.

Desirable Skills

• Deeper experience with graph databases (e.g. Amazon Neptune, Neo4j).
• Familiarity with AWS SageMaker or similar managed ML platforms.
• Exposure to model monitoring, drift detection, or retraining workflows.
• Experience working in financial services or other regulated environments.

How This Role Fits in the Team

• This is a hands‑on engineering role, focused on building and operating ML systems.
• The role offers strong opportunities to grow technically, including deepening expertise in graph ML through development projects, while maintaining a broad ML skill set.

Why Join Us

You will join a team working on real, production ML systems that directly support critical Capital Markets operations. At LSEG, we value engineering depth, curiosity, and continuous learning, and we provide an environment where engineers can develop strong, transferable ML skills while contributing to high‑impact initiatives.

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Career Stage:

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Location: Colombo, Sri Lanka

Time Type: Full time